首页|期刊导航|地震研究进展（英文）|A multi-channel approach for automatic microseismic event association using RANSAC-based Arrival Time Event Clustering (RATEC)

A multi-channel approach for automatic microseismic event association using RANSAC-based Arrival Time Event Clustering (RATEC)

Lijun Zhu Lindsay Chuang James H.McClellan Entao Liu Zhigang Peng

地震研究进展（英文）2021，Vol.1Issue(3)：8-20,13.

A multi-channel approach for automatic microseismic event association using RANSAC-based Arrival Time Event Clustering (RATEC)

Lijun Zhu ¹Lindsay Chuang ²James H.McClellan ¹Entao Liu ¹Zhigang Peng²

作者信息

1. School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology,USA
2. School of Earth and Atmospheric Sciences (EAS) at Georgia Institute of Technology,USA
折叠

摘要

关键词

RANSAC/Phase association/Passive seismic/Sensor array/Classification/Multi-channel

Key words

RANSAC/Phase association/Passive seismic/Sensor array/Classification/Multi-channel

引用本文复制引用

Lijun Zhu,Lindsay Chuang,James H.McClellan,Entao Liu,Zhigang Peng..A multi-channel approach for automatic microseismic event association using RANSAC-based Arrival Time Event Clustering (RATEC)[J].地震研究进展（英文）,2021,1(3):8-20,13.

基金项目

This work is supported by the Center for Energy and Geo Processing at Georgia Tech and King Fahd University of Petroleum and Minerals.We are grateful to Zefeng Li for helpful discussions and the analysis of microearthquake data.The seismic data analyzed in this study are owned by Signal Hill Petroleum,Inc.and acquired by NodalSeismic LLC.We thank NodalSeismic LLC for making the one-week data available in this study.LYC and ZP are partially supported by NSF award EAR-1818611. （）

地震研究进展（英文）

OACSCD

ISSN：2096-9996

访问量0

下载量0

段落导航